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Easy Identification of <i>Leishmania (Leishmania) amazonensis</i> and <i>Leishmania (Viannia) braziliensis</i> Species by Using Fourier-Transform Infrared Spectroscopy and Machine Learning Algorithms. [PDF]
ACS OmegaOliveira VAS +7 more
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An AI-Driven Dual-Spectral Vision-Language Sensing Framework for Intelligent Agricultural Phenotyping. [PDF]
Sensors (Basel)Shi L +6 more
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Automatic impurity spectral line identification algorithm with noise reduction for fusion plasmas
Fusion Engineering and Design, 2020Abstract Accurate diagnostics of impurity behavior inside the tokamak plasma is essential for long and stable plasma operation and also for machine protection in fusion devices including ITER. In this study, a numerical code for identifying impurity line spectra was developed and assessed by utilizing the ITER-relevant vacuum ultraviolet (VUV ...
Haewon Shin +3 more
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Automated spectral line identification
Publications of the Astronomical Society of the Pacific, 1990Software has been developed to automate the intricate and tedious process of stellar line identification. A set of unknown stellar wavelengths and intensities is compared with a master multiplet list composed of the Revised Multiplet Table plus extensions.
Austin F. Gulliver, Joachim G. Stadel
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Automatic identification of spectral lines
2023Tesis (Master of Science in Engineering)--Pontificia Universidad Católica de Chile, 2016 ; La astronomía enfrenta nuevos desafíos en cuanto a cómo analizar big data, y por lo tanto, como buscar o predecir eventos/patrones de interés. Nuevas observaciones en regiones de longitudes de onda previamente inexploradas están disponibles gracias a instrumentos
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Journal of Applied Physics, 2022
The process of associating spectral peaks in emission radiation data with particular charge states of specific elements is a common task in the field of plasma diagnostics in both laboratory and astrophysical settings. Existing techniques for this purpose are often highly manual or can rely heavily on theoretical models and assumptions of plasma ...
M. Tobin, M. Nations
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The process of associating spectral peaks in emission radiation data with particular charge states of specific elements is a common task in the field of plasma diagnostics in both laboratory and astrophysical settings. Existing techniques for this purpose are often highly manual or can rely heavily on theoretical models and assumptions of plasma ...
M. Tobin, M. Nations
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Spectral Line Identification and Modelling (SLIM) in the MAdrid Data CUBe Analysis (MADCUBA) package
Astronomy & Astrophysics, 2019Martín, S. +5 more
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Identification of spectral lines of elements using artificial neural networks
Microchemical Journal, 2009Artificial neural networks (ANNs) are relatively new computational tools that have found extensive utilization in solving many complex real-world problems. This paper describes how an ANN can be used to identify the spectral lines of elements. The spectral lines of Cadmium (Cd), Calcium (Ca), Iron (Fe), Lithium (Li), Mercury (Hg), Potassium (K) and ...
M. Saritha, V.P.N. Nampoori
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